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Effect of Water Distribution System Configuration on Nodal Pressure, Water Quality, and Pumping Energy Uncertainties

机译:供水系统配置对节点压力,水质和抽水能量不确定度的影响

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Water distribution system (WDS) complexity increases as its size increases. Not only size, but the configuration of the system also plays an important role in solving a water distribution system for its hydraulics and water quality. The flow pattern and the dynamics of the system heavily depend on the system configuration. A smaller change in parameter value in a loop configuration system would affect the system flow pattern and dynamics more than the branch configuration, as there are multiple paths to convey the required flow to a single node. On the other hand in a branch system a single path is typically used to convey the required flow to a node. Water distribution system model can predict the required and delivery heads, pressures, pumping energy, water quality, etc. Thus, the WDS model helps decision making in planning, design, operation, and management. The model input parameters can affect the model predictions. While some input parameters may affect the model outputs less, the others may affect significantly. The system configuration adds another complexity to it. The impacts of these input parameters may be different in different configuration systems. This paper considers a wide range of input parameters to observe their effects on model prediction uncertainties in nodal pressure, pumping energy requirement, and nodal water quality using Monte Carlo simulation (MCS). The effect of the system configuration on model prediction uncertainty is observed by applying the MCS to eight (8) water distribution systems of different configurations.
机译:供水系统(WDS)的复杂性随其尺寸的增加而增加。在解决水分配系统的水力和水质方面,不仅尺寸,而且系统的配置也起着重要作用。系统的流模式和动态在很大程度上取决于系统配置。在回路配置系统中,参数值的较小更改将比分支配置对系统流模式和动态的影响更大,因为存在多条路径将所需流传递到单个节点。另一方面,在分支系统中,通常使用一条路径将所需的流传送到节点。供水系统模型可以预测所需的水头,供水压力,压力,泵送能量,水质等。因此,WDS模型有助于规划,设计,运营和管理中的决策。模型输入参数可能会影响模型预测。尽管某些输入参数对模型输出的影响较小,但其他参数可能会影响较大。系统配置给它增加了另一种复杂性。这些输入参数的影响在不同的配置系统中可能有所不同。本文考虑了广泛的输入参数,以使用蒙特卡罗模拟(MCS)观察它们对节点压力,泵送能量需求和节点水质模型预测不确定性的影响。通过将MCS应用于八(8)种不同配置的配水系统,可以观察到系统配置对模型预测不确定性的影响。

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